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Forward Deployed Engineer

San Francisco

SpringCube

Full-time - Senior Engineer

IT Services & Consulting

Posted 18 hours ago

$200,000 - $250,000

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Job Description

This job was selected by the SpringCube team to help AI, Data and Cloud Engineers discover relevant San Francisco Bay Area employers. Sign up to view the full employer details and apply directly with the hiring company.

Company Overview

The company develops an agentic document platform designed for leading AI teams that require enterprise-grade performance at scale. Its platform provides a comprehensive toolkit for working with documents in ways that resemble human workflows, combining proprietary in-house models with leading frontier models to enable efficient and accurate document processing and automation.

About the Role

The company is seeking a founding Forward Deployed Engineer to work directly with customers and deploy, customize, and optimize its systems in real-world environments.

The role bridges the company’s core product with the unique and complex requirements of enterprise customers. The engineer will be heavily involved across both pre-sales and post-sales activities, helping prospects move from evaluation to contract and supporting existing customers through expansion.

The position involves building prototype and demonstration applications, customizing existing products to address customer requirements, and translating insights gathered from customer engagements into improvements to the core product.

The role is similar to the work of an early-stage founder building relationships with initial customers, requiring high ownership, technical versatility, speed, and a willingness to take on whatever work is necessary to create customer value.

Responsibilities

  • Build whatever is necessary to drive customer value, including evaluation applications, customized agents, prototypes, or modifications to existing product functionality.
  • Collaborate closely with Sales and Customer Success teams to help land prospects and enable customers.
  • Develop strong relationships with customers and understand key stakeholders, particularly technical decision-makers.
  • Create diagnostics, dashboards, and evaluation harnesses to measure system performance and identify regressions across different customer environments.
  • Act as a feedback loop between customers and internal product and engineering teams by identifying usability gaps, unmet needs, and opportunities to increase customer value.
  • Work directly with company leadership and customers to influence product direction and engineering strategy.
  • Participate throughout the full development lifecycle, from identifying customer problems and developing solutions to deploying and iterating on those solutions in production.
  • Build internal tools and applications as needed to quickly test hypotheses, analyze data, and validate potential solutions.

Qualifications

  • 3–6 years of experience deploying software in production environments, ideally working with enterprise or regulated customers.
  • Excellent proficiency in Python.
  • Ability to work comfortably with Bash, infrastructure, and related development environments.
  • Strong ability to build practical tools and prototypes quickly based on customer and product requirements.
  • Quantitative approach to product development, with the ability to debug, experiment, measure results, and iterate rapidly.
  • Ability to work independently with a high degree of ownership and agency.
  • Strong attention to quality and a willingness to take responsibility for solving problems rather than simply identifying them.
  • Comfortable working hands-on across the full software development lifecycle, from ideation through production deployment and customer usage.
  • Strong communication and relationship-building skills for working directly with customers, technical stakeholders, Sales, Customer Success, Product, and Engineering teams.

Preferred Qualifications

  • Previous experience founding a company or building products in an early-stage environment.
  • Previous experience in a forward-deployed engineering role or a similar customer-facing technical position.
  • Experience helping large customers successfully adopt and deploy software through hands-on technical engagement.
  • Familiarity with the latest developments in machine learning and artificial intelligence.
  • Experience building rapid prototypes, evaluation tools, dashboards, datasets, or applications using technologies such as Streamlit or similar frameworks.

Disclaimer

SpringCube curates tech job listings from various company websites to support tech professionals globally.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
  4. No Liability: SpringCube is not liable for inaccuracies.
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